Software Alternatives, Accelerators & Startups

CData Cloud Hub VS Datacoves

Compare CData Cloud Hub VS Datacoves and see what are their differences

CData Cloud Hub logo CData Cloud Hub

The CData Cloud Hub provides live data connectivity to more than 200+ Enterprise Data Sources through standard data interfaces

Datacoves logo Datacoves

Managed dbt-core, VS Code in the browser, and Managed Airflow
  • CData Cloud Hub Landing page
    Landing page //
    2023-05-19
  • Datacoves Landing page
    Landing page //
    2023-05-17

The Datacoves platform helps enterprises overcome their data delivery challenges quickly using dbt and Airflow, implementing best practices from the start without the need for multiple vendors or costly consultants.

Datacoves

$ Details
paid Free Trial
Platforms
Dbt Airflow Snowflake Databricks
Release Date
2021 August

CData Cloud Hub features and specs

No features have been listed yet.

Datacoves features and specs

  • Data Extract and Load: Airbyte, Fivetran, Python
  • dbt Development: VS Code, Sqlfluff, dbt-checkpoint, data preview, etc
  • Documentation: Hosted dbt docs for Development and Production
  • Orchestration: Hosted Airflow on Kubernetes
  • DataOps: Github, Gitlab, Bitbucket, Jenkins
  • BI: Superset, Tableau, PowerBI, Qlik, Looker
  • Hosting Options: SaaS or Private Cloud deployment

CData Cloud Hub videos

No CData Cloud Hub videos yet. You could help us improve this page by suggesting one.

+ Add video

Datacoves videos

Demo and Interview by Demohub

More videos:

  • Review - Query Preview in Datacoves

Category Popularity

0-100% (relative to CData Cloud Hub and Datacoves)
Technical Computing
100 100%
0% 0
Data Integration
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Web Service Automation
0 0%
100% 100

Questions and Answers

As answered by people managing CData Cloud Hub and Datacoves.

What makes your product unique?

Datacoves's answer:

We provide the flexibility and integration most companies need. We help you connect EL to T and Activation, we don't just handle the transformation and we guide you to do things right from the start so that you can scale in the future. Finally we offer both a SaaS and private cloud deployment options.

Why should a person choose your product over its competitors?

Datacoves's answer:

Do you need to connect Extract and Load to Transform and downstream processes like Activation? Do you love using VS Code and need the flexibility to have any Python library or VS Code extension available to you? Do you want to focus on data and not worry about infrastructure? Do you have sensitive data and need to deploy within your private cloud and integrate with existing tools? If you answered yes to any of these questions, then you need Datacoves.

How would you describe your primary audience?

Datacoves's answer:

Mid to Large size companies who value doing things well.

What's the story behind your product?

Datacoves's answer:

Our founders have decades of experience in software development and implementing data platforms at large enterprises. We wanted to cut through all the noise and enable any team to deploy an end-to-end data management platform with best practices from the start. We believe that having an opinion matters and helping companies understand the pros and cons of different decisions will help them start off on the right path. Technology alone doesn't transform organizations.

Who are some of the biggest customers of your product?

Datacoves's answer:

  • Johnson & Johnson
  • Janssen
  • Kenvue
  • Orrum

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare CData Cloud Hub and Datacoves

CData Cloud Hub Reviews

We have no reviews of CData Cloud Hub yet.
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Datacoves Reviews

  1. All the data tools you need to run a world class team in one place

    I manage analytics for a small SaaS company. Datacoves unlocked my ability to do everything from raw data to dashboarding all without me having to wrangle multiple contracts or set up an on-prem solution. I get to use the top open source tools out there without the headache and overhead of managing it myself. And their support is excellent when I run into any questions.

    Cannot recommend highly enough for anyone looking to get their data tooling solved with a fraction of the effort of doing it themselves.

    ๐Ÿ Competitors: Keboola
    ๐Ÿ‘ Pros:    Quick and easy implementation|Scalable|Easy to use
    ๐Ÿ‘Ž Cons:    Small company
  2. Best-in-class open-source tools for the modern datastack, seamlessly integrated

    The most difficult part of any data stack is to establish a strong development foundation to build upon. Most small data teams simply cannot afford to do so and later pay the penalty when trying to scale with a spaghetti of processes, custom code, and no documentation. Datacoves made all the right choices in combining best-in-class tools surrounding dbt, tied together with strong devops practices so that you can trust in your process whether you are a team of one or a hundred and one.

    ๐Ÿ‘ Pros:    Powerful development environments|Seamless|Great customer support

Social recommendations and mentions

Based on our record, Datacoves seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

CData Cloud Hub mentions (0)

We have not tracked any mentions of CData Cloud Hub yet. Tracking of CData Cloud Hub recommendations started around Mar 2021.

Datacoves mentions (2)

  • What are your thoughts on dbt Cloud vs other managed dbt Core platforms?
    Dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow. Source: about 1 year ago
  • dbt Core + Azure Data Factory
    Check out datacoves.com more flexibility. Source: about 1 year ago

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CData Excel Add-Ins - Excel Add-In for mass imports / exports / updates, data cleansing & de-duplication and data analysis.

CData Sync - Straightforward data synchronizing between on-premise and cloud data sources with a wide range of traditional and emerging databases.